Cursor Open-Sources Mixture-of-Kittens (MoK): A Deterministic MoE Training Megakernel for GB300 NVL72 Racks
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Cursor Research has open-sourced Mixture-of-Kittens (MoK), the MoE training megakernel behind its Composer models. MoK fuses all mixture-of-experts communication and computation into a single deterministic kernel, and runs up to 2.37x faster than the strongest public baseline on GB300 NVL72 racks. It requires Blackwell SM100 or SM103 GPUs, which puts it out of reach for anyone without NVL72 capacity.
1Key Takeaways
- Cursor Research has open-sourced Mixture-of-Kittens (MoK), the MoE training megakernel behind its Composer models.
- MoK fuses all mixture-of-experts communication and computation into a single deterministic kernel, and runs up to 2.37x faster than the strongest public baseline on GB300 NVL72 racks.
- It requires Blackwell SM100 or SM103 GPUs, which puts it out of reach for anyone without NVL72 capacity.
2AIWedia Score
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3Why it matters
Video AI is reshaping ads, social content, and entertainment with faster generation pipelines. MarkTechPost Video reports that cursor Research has open-sourced Mixture-of-Kittens (MoK), the MoE training megakernel behind its Composer models.
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